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Nevin Manimala Statistics

Excess Fatal Overdoses in the United States During the COVID-19 Pandemic by Geography and Substance Type: March 2020-August 2021

Am J Public Health. 2024 Jun;114(6):599-609. doi: 10.2105/AJPH.2024.307618.

ABSTRACT

Objectives. To assess heterogeneity in pandemic-period excess fatal overdoses in the United States, by location (state, county) and substance type. Methods. We used seasonal autoregressive integrated moving average (SARIMA) models to estimate counterfactual death counts in the scenario that no pandemic had occurred. Such estimates were subtracted from actual death counts to assess the magnitude of pandemic-period excess mortality between March 2020 and August 2021. Results. Nationwide, we estimated 25 668 (95% prediction interval [PI] = 2811, 48 524) excess overdose deaths. Specifically, 17 of 47 states and 197 of 592 counties analyzed had statistically significant excess overdose-related mortality. West Virginia, Louisiana, Tennessee, Kentucky, and New Mexico had the highest rates (20-37 per 100 000). Nationally, there were 5.7 (95% PI = 1.0, 10.4), 3.1 (95% PI = 2.1, 4.2), and 1.4 (95% PI = 0.5, 2.4) excess deaths per 100 000 involving synthetic opioids, psychostimulants, and alcohol, respectively. Conclusions. The steep increase in overdose-related mortality affected primarily the southern and western United States. We identified synthetic opioids and psychostimulants as the main contributors. Public Health Implications. Characterizing overdose-related excess mortality across locations and substance types is critical for optimal allocation of public health resources. (Am J Public Health. 2024;114(6):599-609. https://doi.org/10.2105/AJPH.2024.307618).

PMID:38718338 | DOI:10.2105/AJPH.2024.307618

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Nevin Manimala Statistics

Major Traffic Safety Reform and Road Traffic Injuries Among Low-Income New York Residents, 2009-2021

Am J Public Health. 2024 Jun;114(6):633-641. doi: 10.2105/AJPH.2024.307617.

ABSTRACT

Objectives. To evaluate the effects of a comprehensive traffic safety policy-New York City’s (NYC’s) 2014 Vision Zero-on the health of Medicaid enrollees. Methods. We conducted difference-in-differences analyses using individual-level New York Medicaid data to measure traffic injuries and expenditures from 2009 to 2021, comparing NYC to surrounding counties without traffic reforms (n = 65 585 568 person-years). Results. After Vision Zero, injury rates among NYC Medicaid enrollees diverged from those of surrounding counties, with a net impact of 77.5 fewer injuries per 100 000 person-years annually (95% confidence interval = -97.4, -57.6). We observed marked reductions in severe injuries (brain injury, hospitalizations) and savings of $90.8 million in Medicaid expenditures over the first 5 years. Effects were largest among Black residents. Impacts were reversed during the COVID-19 period. Conclusions. Vision Zero resulted in substantial protection for socioeconomically disadvantaged populations known to face heightened risk of injury, but the policy’s effectiveness decreased during the pandemic period. Public Health Implications. Many cities have recently launched Vision Zero policies and others plan to do so. This research adds to the evidence on how and in what circumstances comprehensive traffic policies protect public health. (Am J Public Health. 2024;114(6):633-641. https://doi.org/10.2105/AJPH.2024.307617).

PMID:38718333 | DOI:10.2105/AJPH.2024.307617

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Nevin Manimala Statistics

On Detecting Endemicity: Insights from All-Cause Mortality Patterns During Epidemic Transitions

Am J Public Health. 2024 Jun;114(6):575-579. doi: 10.2105/AJPH.2024.307678.

NO ABSTRACT

PMID:38718330 | DOI:10.2105/AJPH.2024.307678

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Nevin Manimala Statistics

Protocol for a systematic mapping review of surgical and pharmacological interventions for the treatment of trigeminal neuralgia

Medwave. 2024 May 8;24(4):e2759. doi: 10.5867/medwave.2024.04.2759.

ABSTRACT

INTRODUCTION: Trigeminal neuralgia is a painful neuropathic disorder characterized by sudden electric shock-like pain that significantly impacts patients’ quality of life. Multiple treatment alternatives are available, including medical and surgical options but establishing the optimal course of action can be challenging. To enhance clinical decision-making for trigeminal neuralgia treatment, it is imperative to organize, describe and map the available systematic reviews and randomized trials. This will help identify the best treatment alternatives supported by evidence and acknowledge potential knowledge gaps where future research is needed.

OBJECTIVE: This systematic mapping review aims to provide up-to-date evidence on the different surgical and pharmacological treatment alternatives used for trigeminal neuralgia.

METHODS: A search will be systematically conducted on the Epistemonikos database to identify potentially eligible systematic reviews. Additionally, a search will be made in PubMed, CENTRAL, and EBSCO to identify randomized controlled trials assessing pharmacological and surgical treatment interventions for trigeminal neuralgia. Two independent reviewers will screen and select the studies. Data on the different treatment alternatives and reported outcomes in the included studies will be extracted using standardized forms. Following extraction, descriptive statistical methods will be used to analyze the data. The final output of this study will include an evidence map that will illustrate the connections between different treatments and their respective outcomes, providing a clear depiction of the evidence landscape.

EXPECTED RESULTS: This study expects to map, describe and assess the methodological quality of the available systematic reviews and trials on pharmacological interventions and neurosurgical procedures for treating trigeminal neuralgia. It will present the results in an evidence map that organizes the available evidence based on their different interventions and outcomes. This evidence map will serve as a visual tool to assist healthcare professionals and patients to understand evidence-based treatment options and their implications for managing this medical condition.

INTRODUCCIÓN: La neuralgia del trigémino es un trastorno neuropático doloroso caracterizado por un dolor súbito y agudo, similar a una descarga eléctrica, que impacta significativamente en la calidad de vida. Dada la variedad de tratamientos disponibles, médicos y quirúrgicos, es crucial organizar y mapear la evidencia proveniente de revisiones sistemáticas y ensayos clínicos para orientar las decisiones clínicas. Esto permite identificar tratamientos respaldados por evidencia y señalar áreas de investigación futura.

OBJETIVO: El propósito de esta revisión sistemática de mapeo es proporcionar una visión actualizada de la evidencia existente en relación con las diversas opciones de tratamiento quirúrgico y farmacológico empleadas en el manejo de la neuralgia del trigémino.

MÉTODOS: Se realizará una búsqueda sistemática en la base de datos Epistemonikos para identificar potenciales revisiones sistemáticas. Adicionalmente, se buscará en PubMed, CENTRAL y EBSCO ensayos clínicos aleatorizados que evalúen intervenciones de tratamiento farmacológico y quirúrgico para la neuralgia del trigémino. Dos revisores independientes cribarán y seleccionarán los estudios. Se extraerán datos sobre las diferentes alternativas de tratamiento y los resultados reportados en los estudios incluidos utilizando formularios estandarizados. Tras la extracción, se utilizarán métodos estadísticos descriptivos para analizar los datos. El producto final de este estudio incluirá un mapa de evidencia que ilustrará las conexiones entre los diferentes tratamientos y sus respectivos resultados, proporcionando una representación clara del panorama de la evidencia.

RESULTADOS ESPERADOS: Los resultados que se extraerán de este mapeo sistemático incluyen identificar y describir las diferentes alternativas, tanto farmacológicas como quirúrgicas, que existen para el tratamiento de la neuralgia del trigémino. Además, se planea presentar un mapa de evidencia que se basará en los ensayos clínicos aleatorizados y revisiones sistemáticas, el cual mostrará la evidencia de manera organizada entre las diferentes intervenciones y sus desenlaces. Este mapa de evidencia servirá como una herramienta visual que ayudará a los profesionales de la salud y los pacientes a comprender mejor las opciones de tratamiento respaldadas por la evidencia y sus consecuencias en el manejo de esta condición médica.

PMID:38718322 | DOI:10.5867/medwave.2024.04.2759

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Nevin Manimala Statistics

A Novel Approach to Integrate Human Biomonitoring Data with Model Predicted Dietary Exposures: A Crop Protection Chemical Case Study Using Lambda-Cyhalothrin

J Agric Food Chem. 2024 May 8. doi: 10.1021/acs.jafc.3c07071. Online ahead of print.

ABSTRACT

The appropriate use of human biomonitoring data to model population chemical exposures is challenging, especially for rapidly metabolized chemicals, such as agricultural chemicals. The objective of this study is to demonstrate a novel approach integrating model predicted dietary exposures and biomonitoring data to potentially inform regulatory risk assessments. We use lambda-cyhalothrin as a case study, and for the same representative U.S. population in the National Health and Nutrition Examination Survey (NHANES), an integrated exposure and pharmacokinetic model predicted exposures are calibrated to measurements of the urinary metabolite 3-phenoxybenzoic acid (3PBA), using an approximate Bayesian computing (ABC) methodology. We demonstrate that the correlation between modeled urinary 3PBA and the NHANES 3PBA measurements more than doubled as ABC thresholding narrowed the acceptable tolerance range for predicted versus observed urinary measurements. The median predicted urinary concentrations were closer to the median measured value using ABC than using current regulatory Monte Carlo methods.

PMID:38718292 | DOI:10.1021/acs.jafc.3c07071

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Nevin Manimala Statistics

Living well with diabetes in Alaska

Int J Circumpolar Health. 2024 Dec;83(1):2341988. doi: 10.1080/22423982.2024.2341988. Epub 2024 May 8.

ABSTRACT

Many people with diabetes mellitus experience minimal or no complications. Our objective was to determine the proportion of Alaska Native people who experienced four major complications or mortality and to identify factors that may be associated with these outcomes. We used records in a diabetes registry and clinical and demographic variables in our analyses. We used logistic regression and Cox Proportional Hazards models to evaluate associations of these parameters with death and complications that occurred prior to 2013. The study included 591 Alaska Native people with non-type 1 diabetes mellitus, diagnosed between 1986 and 1992. Over 60% of people in this study remained free of four major diabetes-related complications for the remainder of life or throughout the approximately 20-year study period. Lower BMI, higher age at diagnosis of diabetes, and use of at least one diabetes medication were associated with death and a composite of four complications. A majority of Alaska Native people with DM had none of four major complications over a 20-year period. Lower BMI and use of diabetes medications were associated with higher hazard for some deleterious outcomes. This suggests that goals in care of elders should be carefully individualised. In addition, we discuss several programme factors that we believe contributed to favourable outcomes.

PMID:38718274 | DOI:10.1080/22423982.2024.2341988

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Nevin Manimala Statistics

Statistical Design and Optimization of Nano-Transfersomes Based Chitosan Gel for Transdermal Delivery of Cefepime

Drug Dev Ind Pharm. 2024 May 8:1-19. doi: 10.1080/03639045.2024.2353098. Online ahead of print.

ABSTRACT

Objectives: This research aimed to overcome challenges posed by cefepime excessive elimination rate and poor patient compliance by developing transdermal delivery system using nano-transfersomes based chitosan gel.Methods: Rotary evaporation-sonication method and the Box-Behnken model were used to prepare cefepime loaded nano-transfersomes (CPE-NTFs). The physiochemical characterization of CPE-NTFs were analyzed including DLS, deformability index, DSC and antimicrobial study. Optimized CPE-NTFs loaded into chitosan gel and appropriately characterized. In vitro release, ex vivo and in vivo studies were performed.Results: The CPE-NTFs were physically stable with particle size 222.6 ± 1.8 nm, polydispersity index 0.163 ± 0.02, zeta potential -20.8 ± 0.1 mv, entrapment efficiency 81.4 ± 1.1% and deformability index 71 ± 0.2. DSC analysis confirmed successful drug loading and thermal stability. FTIR analysis showed no chemical interaction among the excipients of CPE-NTFs gel. The antibacterial activity demonstrated a remarkable reduction in the minimum inhibitory concentration of cefepime when incorporated into nano-transfersomes. CPE-NTFs based chitosan gel (CPE-NTFs gel) showed significant physicochemical properties. In vitro release studies exhibited sustained release behavior over 24 hours, and ex vivo studies indicated enhanced permeation and retention compared to conventional cefepime gel. In vivo skin irritation studies confirmed CPE-NTFs gel was non-irritating and biocompatible for transdermal delivery.Conclusion: This research showed nano-transfersomes-based chitosan gel is a promising approach for cefepime transdermal delivery and provides sustained release of cefepime.

PMID:38718267 | DOI:10.1080/03639045.2024.2353098

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Nevin Manimala Statistics

Perspectives on Electronic Nicotine Delivery System Use Cessation Among Adults in Rural Areas: Implications for Future Studies

WMJ. 2024 May;123(2):99-105.

ABSTRACT

INTRODUCTION: More young adults (age 18-24 years) in rural areas versus urban areas use electronic nicotine delivery systems (ENDS) – also known as e-cigarettes. Little is known about young adults’ perceptions toward ENDS use and cessation. The objective of this study was to examine barriers and facilitators to ENDS use cessation among young adults living in rural areas, as well as their perceptions about ENDS use and cessation and to determine implications for future cessation studies.

METHODS: We administered cross-sectional online surveys to young adults living in rural Midwestern counties. A total of 100 individuals responded to the surveys. Descriptive statistics were used to report their perceptions of ENDS use as well as barriers and facilitators to ENDS use cessation. The content analysis method was used to analyze the answers to an open-ended question regarding perceptions about the ENDS use cessation in the context of rural areas.

RESULTS: Barriers to ENDS use cessation included perceived advantages to ENDS use, high nicotine dependence, and the perception that ENDS use was less harmful cigarettes. Facilitators to ENDS use cessation included cost of ENDS use, perceived harm, and high confidence in ability to quit. Participants’ perceptions about ENDS use cessation in the context of rural areas were conceptualized under the themes of (1) exposure to and initiation of ENDS use, (2) continuation of ENDS use, and (3) prevention and cessation of ENDS use.

CONCLUSIONS: Health care providers, tobacco control researchers, and public health advocates should be aware of barriers and facilitators to ENDS use cessation among young adults for future cessation intervention studies relevant specifically to rural areas.

PMID:38718237

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Nevin Manimala Statistics

Determination of target genes for classified molecular subtypes of triple-negative breast cancer form microarray gene expression profiling: An integrative in silico approach

Indian J Pathol Microbiol. 2024 Mar 25. doi: 10.4103/ijpm.ijpm_353_22. Online ahead of print.

ABSTRACT

BACKGROUND: Highly heterogeneous triple-negative breast cancer (TNBC) has tough clinical features, which were gradually solving and improving in diagnosis by the molecular subtyping of TNBC.

AIM: Presently, this study was focused on analyzing the genetic makeup of TNBC subtypes.

SETTINGS AND DESIGN: This study explored the MicroArray expression profiling of differentially expressed genes in molecular subtypes BL1, BL2, IM, luminal androgen receptor, M, and mesenchymal stem-like of TNBC by analyzing the Gene Expression Omnibus dataset GSE167213. Various gene ontologies-based protein-protein interaction (PPI) networks were subtyped TNBC genes. The effect of genetic alteration on TNBC cases was also interpreted.

MATERIALS AND METHODS: The MicroArray gene expression profiling was done through R programming and subjected to functional annotation through the database for annotation, visualization, and integrated discovery. The PPI networking of functionally associated genes was interpreted by STRING. The survival analysis was done through cBioPortal.

STATISTICAL ANALYSIS USED: The t-test was used through R programming to generate the P values for a test of the significance of expressed genes.

RESULTS: A total of 54,613 significant probes were analyzed in the TNBC MicroArray dataset. The functional PPI networks of BL1, BL2, and IM upregulated genes showed significant associations. The survival analysis of differentially expressed genes showed the significant prognostic effect of 32 upregulated genes of different subtypes on TNBC cases with genetic alterations, whereas the remaining genes showed no significant effects.

CONCLUSION: The output of the present study provided significant target gene panels for different TNBC subtypes, which would add an informative genetic value to TNBC diagnosis.

PMID:38718221 | DOI:10.4103/ijpm.ijpm_353_22

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Nevin Manimala Statistics

Statistical modeling of acute and chronic pain patient-reported outcomes obtained from ecological momentary assessment

Pain. 2024 May 7. doi: 10.1097/j.pain.0000000000003214. Online ahead of print.

ABSTRACT

Ecological momentary assessment (EMA) allows for the collection of participant-reported outcomes (PROs), including pain, in the normal environment at high resolution and with reduced recall bias. Ecological momentary assessment is an important component in studies of pain, providing detailed information about the frequency, intensity, and degree of interference of individuals’ pain. However, there is no universally agreed on standard for summarizing pain measures from repeated PRO assessment using EMA into a single, clinically meaningful measure of pain. Here, we quantify the accuracy of summaries (eg, mean and median) of pain outcomes obtained from EMA and the effect of thresholding these summaries to obtain binary clinical end points of chronic pain status (yes/no). Data applications and simulations indicate that binarizing empirical estimators (eg, sample mean, random intercept linear mixed model) can perform well. However, linear mixed-effect modeling estimators that account for the nonlinear relationship between average and variability of pain scores perform better for quantifying the true average pain and reduce estimation error by up to 50%, with larger improvements for individuals with more variable pain scores. We also show that binarizing pain scores (eg, <3 and ≥3) can lead to a substantial loss of statistical power (40%-50%). Thus, when examining pain outcomes using EMA, the use of linear mixed models using the entire scale (0-10) is superior to splitting the outcomes into 2 groups (<3 and ≥3) providing greater statistical power and sensitivity.

PMID:38718196 | DOI:10.1097/j.pain.0000000000003214